code: def test_conv(datadir):
      model = onnx.load(datadir.file("convx1_gemmx1.onnx"))
      net = load_onnx_neural_network(model)
      layers = list(net.layers)
      assert len(layers) == 4
      assert layers[1].activation == "linear"
      assert layers[2].activation == "linear"
      assert layers[3].activation == "relu"
      assert layers[1].strides == [1, 1]
      assert layers[1].kernel_shape == (2, 2)
  
file_path: OMLT/tests/io/test_onnx_parser.py
imports: import pytest
  from omlt.dependencies import onnx, onnx_available
label_desc: Use image node_id 6 for calling a global function with example usage: test_conv(datadir) without return types